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Modeling and simulation of complex dynamic musculoskeletal architectures

Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their pot...

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Autores principales: Zhang, Xiaotian, Chan, Fan Kiat, Parthasarathy, Tejaswin, Gazzola, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811595/
https://www.ncbi.nlm.nih.gov/pubmed/31645555
http://dx.doi.org/10.1038/s41467-019-12759-5
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author Zhang, Xiaotian
Chan, Fan Kiat
Parthasarathy, Tejaswin
Gazzola, Mattia
author_facet Zhang, Xiaotian
Chan, Fan Kiat
Parthasarathy, Tejaswin
Gazzola, Mattia
author_sort Zhang, Xiaotian
collection PubMed
description Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their potential use in engineering applications, we present here a versatile numerical approach to the simulation of musculoskeletal architectures. It relies on the assembly of heterogenous, active and passive Cosserat rods into dynamic structures that model bones, tendons, ligaments, fibers and muscle connectivity. We demonstrate its utility in a range of problems involving biological and soft robotic scenarios across scales and environments: from the engineering of millimeter-long bio-hybrid robots to the synthesis and reconstruction of complex musculoskeletal systems. The versatility of this methodology offers a framework to aid forward and inverse bioengineering designs as well as fundamental discovery in the functioning of living organisms.
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spelling pubmed-68115952019-10-25 Modeling and simulation of complex dynamic musculoskeletal architectures Zhang, Xiaotian Chan, Fan Kiat Parthasarathy, Tejaswin Gazzola, Mattia Nat Commun Article Natural creatures, from fish and cephalopods to snakes and birds, combine neural control, sensory feedback and compliant mechanics to effectively operate across dynamic, uncertain environments. In order to facilitate the understanding of the biophysical mechanisms at play and to streamline their potential use in engineering applications, we present here a versatile numerical approach to the simulation of musculoskeletal architectures. It relies on the assembly of heterogenous, active and passive Cosserat rods into dynamic structures that model bones, tendons, ligaments, fibers and muscle connectivity. We demonstrate its utility in a range of problems involving biological and soft robotic scenarios across scales and environments: from the engineering of millimeter-long bio-hybrid robots to the synthesis and reconstruction of complex musculoskeletal systems. The versatility of this methodology offers a framework to aid forward and inverse bioengineering designs as well as fundamental discovery in the functioning of living organisms. Nature Publishing Group UK 2019-10-23 /pmc/articles/PMC6811595/ /pubmed/31645555 http://dx.doi.org/10.1038/s41467-019-12759-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Xiaotian
Chan, Fan Kiat
Parthasarathy, Tejaswin
Gazzola, Mattia
Modeling and simulation of complex dynamic musculoskeletal architectures
title Modeling and simulation of complex dynamic musculoskeletal architectures
title_full Modeling and simulation of complex dynamic musculoskeletal architectures
title_fullStr Modeling and simulation of complex dynamic musculoskeletal architectures
title_full_unstemmed Modeling and simulation of complex dynamic musculoskeletal architectures
title_short Modeling and simulation of complex dynamic musculoskeletal architectures
title_sort modeling and simulation of complex dynamic musculoskeletal architectures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811595/
https://www.ncbi.nlm.nih.gov/pubmed/31645555
http://dx.doi.org/10.1038/s41467-019-12759-5
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